editor's blog
Subscribe Now

Custom Chip Planning

Digital designers have had semi-automated design flows for a long time; custom and analog designers, not so much.

Pulsic recently announced that they’re taking some of the custom EDA technology they’ve had for ten years, combining it with new technology, and integrating it into a flow as their Pulsic Planning Solution. I got a chance to talk to them about it at DAC.

Their solution consists of four components:

  • a hierarchical floorplanner, the Unity Chip Planner;
  • a power grid planner, the Unity Power Planner, which can handle multiple domains;
  • a tool for planning bus routing and layer, the Unity Bus Planner;
  • and a tool for any signal that’s not a bus, the Unity Signal Planner.

They tie into other tools via OpenAccess. They claim to address pretty much any part of the design flow except taking RTL and turning it into GDS-II. They can feed parasitics and signal integrity info into the planning tools to refine the results. The planning process is iterative; each refinement will feed either a better estimate or an actual value to update the overall plan.

They claim that this is the only planning solution specifically targeted for the custom digital or analog space: ASIC tools can sometimes fake it, but don’t do so well with some of the aspect ratios and other idiosyncrasies of custom design.

More info in their recent release

Leave a Reply

featured blogs
Nov 15, 2024
Explore the benefits of Delta DFU (device firmware update), its impact on firmware update efficiency, and results from real ota updates in IoT devices....
Nov 13, 2024
Implementing the classic 'hand coming out of bowl' when you can see there's no one under the table is very tempting'¦...

featured video

Introducing FPGAi – Innovations Unlocked by AI-enabled FPGAs

Sponsored by Intel

Altera Innovators Day presentation by Ilya Ganusov showing the advantages of FPGAs for implementing AI-based Systems. See additional videos on AI and other Altera Innovators Day in Altera’s YouTube channel playlists.

Learn more about FPGAs for Artificial Intelligence here

featured paper

Quantized Neural Networks for FPGA Inference

Sponsored by Intel

Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application.

Click to read more

featured chalk talk

Tungsten 700/510 SMARC SOMs with Wi-Fi 6 / BLE
Sponsored by Mouser Electronics and Ezurio
In this episode of Chalk Talk, Pejman Kalkhorar from Ezurio and Amelia Dalton explore the biggest challenges for medical and industrial embedded designs. They also investigate the benefits that Ezurio’s Tungsten700 and 510 SOMs bring to these kinds of designs and how you can get started using them in your next design.
Nov 7, 2024
14,167 views